Residential Displacement Analysis

This document looks at residential displacement data from the 2019 and 2021 travel surveys.

What share of households experienced residential displacement in 2019 and 2021?

To lookup variable names the codebook is here: J:\Data\Combined_Codebook_2021_With_Weights.xlsx

We will use the psrc.travesurvey package, documentation is here: https://psrc.github.io/psrc.travelsurvey/articles/calculate_hhts_summaries.html

Code is here: https://github.com/psrc/psrc.travelsurvey

Background

3,044 households answered res_dur in 2019 2, 793 household answered res_dur in 2021

There may have been more movers in 2021 in the past year as compared to 2019.

Let’s analyze 2019 movers in the past 5 years for residential displacement (by itself first). Look at 1. prev_res_factors, 2. res_factors 3. by income, 4. by race and ethnicity;

this is 987 households. In the past five years for movers in WA, 29% of households had experienced displacement related reasons for moving.

In 2019, there was a strong correlation between income and experiencing displacement. 55% of hhs with incomes of less than $25K experienced displacement. 13% of households with incomes over 200K

39% of African American hhs, 36% of other hhs experienced displacement, at higher rates than White Only, Hispanic, and Asian HHs

By time frame

Past 5 years

Both datasets in the past 5 years (there is overlap in the time frame); no statistically significant difference (987 hhs in 2019, 860 in 2021)

Past 2 years

Both datasets in the past 2 years NO overlap; 361 hhs in 2019; 298 hhs in 2021; 42% of hhs to 28%

Past 1 year - all movers

Both datasets in the past 1 year (“Less than a year”). Limiting it to within one year of the survey means that there is no overlap between the samples and we are looking at the households that moved before COVID (spring/summer 2018-2019) and during COVID (spring/summer 2020-2021).

  • 2019: 361
  • 2021: 198

Race
5 race categories

Both datasets in the past 1 year by race. The sample sizes by race and year are very small:

  • African American: 14 | 9
  • Asian: 68 | 47
  • Hispanic: 25 | 17
  • Other: 31 | 16
  • White only: 204 | 101

3 race categories


2 race categories


2 race categories: 2017-2021


Income

Both datasets in the past 1 year by income. The sample sizes by race and year are very small:

  • Under $25k: 34 | 17
  • $25-49k 79 | 32
  • $50-74k: 61 | 21
  • $75-99k: 39 | 32
  • $100-199k (only 2021): 59
  • $100k+ (only 2019): 98
  • $200k+: 39 | 27
  • Prefer not to answer: 11 | 10

Simplified income categories


Regional growth center

Both data sets in the past 1 year by final home address location within or outside of a regional growth center. The moes are overlapping, but before COVID (2019 survey), people who moved within the past year moved to a location not in an RGC. After COVID (2021), there were more households who moved to areas within an RGC.

Simplified RGC: 3 categories

The RGS are categorized as urban or metro

Metro: Bellevue, Bremerton, Everett, Redmond Downtown, Seattle Downtown, Seattle First Hill/Capitol Hill, Seattle Northgate, Seattle South Lake Union, Seattle University Community, Seattle Uptown, Tacoma Downtown
Urban : Bothell Canyon Park, Issaquah, Kirkland Totem Lake, Lynnwood, Puyallup Downtown, Puyallup South Hill

Simplified RGC: 2 categories


Household size

It’s difficult to interpret because of the large moes and the multiple dimensions. Some major conclusions could be:

  • Households with children moved at higher rates in 2019 (before COVID)
  • For 1-person households, more moved in 2021 (after COVID)
Simplified household size


Life cylce

It’s difficult to interpret because of the large moes and the multiple dimensions. Some major conclusions could be:

  • Households with children moved at higher rates in 2019 (before COVID)
  • In 1-person households, more moved in 2021 (after COVID)
Simplified life cycle


Tenure
Previous tenure

The majority of people who experienced displacement in both years were renters prior to moving.

Current tenure

At the time of the survey, more respondents were renters than owners. The difference is more distinct for 2021 respondents.

Residential type
Previous residential type

Large, overlapping moes.

  • Pre-COVID (2019 survey), a large share of the households who moved had previously lived in SF
  • After COVID (2021 survey), a large share of the households who moved had previously lived in 4+ apartment/condo buildings
Simplified previous


Current residential type

Large, overlapping moes.

Simplified current


Vehicle ownership

It’s difficult to interpret because of the large moes. Households with 1 or 2 vehicles were more likely to move, both in 2019 and 2021.

Simplified vehicle ownership



Past 1 year - displaced movers

Both datasets in the past 1 year (“Less than a year”). Limiting it to within one year of the survey means that there is no overlap between the samples and we are looking at the households that moved before COVID (spring/summer 2018-2019) and during COVID (spring/summer 2020-2021) and selected a reason that indicated they were displaced.

  • 2019: 266 not displaced, 95 displaced = 361
  • 2021: 145 not displaced, 53 displaced = 198

Race
5 race categories

Both datasets in the past 1 year by race. The sample sizes by race and year are very small:

  • African American: 7 | 1
  • Asian: 16 | 13
  • Hispanic: 6 | 7
  • Other: 13 | 4
  • White only: 48 | 27

3 race categories


2 race categories


2 race categories: 2017-2021


Income

Both datasets in the past 1 year by income. The sample sizes by race and year are very small:

  • Under $25k: 16 | 5
  • $25-49k 24 | 12
  • $50-74k: 20 | 7
  • $75-99k: 12 | 8
  • $100-199k (only 2021): 13
  • $100k+ (only 2019): 19
  • $200k+ (only 2021): 6
  • Prefer not to answer: 3 | 2

Simplified income categories


Regional growth center

Both data sets in the past 1 year by final home address location within or outside of a regional growth center. THe moes are large and overlapping.

Simplified RGC: 3 categories

The RGS are categorized as urban or metro

Metro: Bellevue, Bremerton, Everett, Redmond Downtown, Seattle Downtown, Seattle First Hill/Capitol Hill, Seattle Northgate, Seattle South Lake Union, Seattle University Community, Seattle Uptown, Tacoma Downtown
Urban : Bothell Canyon Park, Issaquah, Kirkland Totem Lake, Lynnwood, Puyallup Downtown, Puyallup South Hill

Simplified RGC: 2 categories


Household size

It’s difficult to interpret because of the large moes. It appears that 1-person households were more likely to report moving because of displacement in 2021 (after COVID), than in 2019. Households with 2 people seem similar, but those with 3 or more peole experienced displacement at higher rates in 2019.

Simplified household size


Life cylce

It’s difficult to interpret because of the large moes and the multiple dimensions. Some major conclusions could be:

  • Households with children <5 experienced displacement at higher rates in 2019 (before COVID)
    • There doesn’t appear to be a change over between before/after COVID for households with children 5-17
  • In 1-person households, displacement impacted people under 35 and over 65 after COVID, more so than before COVID
    • People 35-64 don’t show much change
  • In households with more than 1 person, 35-64 was impacted more after COVID than before
Simplified life cycle


Tenure
Previous tenure

The majority of people who experienced displacement in both years were renters prior to moving.

Current tenure

The majority of people who experienced displacement were renters at the time of the survey. Any changes between before and after covid are difficult to confirm because of the large, overlapping moes.

Residential type
Previous residential type

Large, overlapping moes.

Simplified previous


Current residential type

Large, overlapping moes.

Simplified current


Vehicle ownership

It’s difficult to interpret because of the large moes and the multiple dimensions. One major conclusions could be:

  • Fewer 2-vehicle households were displaced in 2021 (during/after COVID)
  • Shares of displacement among 0-vehicle households and 1-vehicle households was similar over time

This is different from general movers sample where 2-vehicle households were close to the share of 1-vehicle households. Among displaced movers, there are similar shares of 0-vehicle households and 2-vehicle households.

Simplified vehicle ownership



Past 1 year: all, movers, displaced

This analysis will focus on race among survey respondents, movers, and displaced movers.



Overlapping time periods

Showing displacement by time period. this part is a little tricky; i think I need someone to check me.

Reasons for moving

Why did you move to current residence

redefining